Adaptive neural network control of nonlinear systems with unknown time delays

Adaptive neural network control of nonlinear systems with unknown time delays

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时间:2019-11-27

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1、2004IEEETRANSACTIONSONAUTOMATICCONTROL,VOL.48,NO.11,NOVEMBER2003[18]O.J.M.Smith,“Closercontrolofloopswithdeadtime,”Chem.Eng.[13],thesystemconsideredwasaclassofnonlineartime-delaysystemsProgr.,vol.53,no.5,pp.217–219,1957.withaso-called“triangularstructure”,whichwaslatercommentedthat[19]M.Mor

2、ariandE.Zafiriou,RobustProcessControl.UpperSaddleitcouldnotbe“constructivelyobtained”in[14].TheuncertaintiesfromRiver,NJ:Prentice-Hall,1989.[20]L.Mirkin,“Aredistributed-delaycontrollawsintrinsicallyunapprox-unknownparametersorunknownnonlinearfunctionsareyettobedis-imable?,”presentedatthe4th

3、IFACWorkshopTimeDelaySystems,cussed,especiallywhenthevirtualcontrolcoefficientsareunknownRocquencourt,France,2003.nonlinearfunctionsofstateswithknownsigns.Withtheaidofneural[21]C.N.Nett,C.A.Jacobson,andM.J.Balas,“Aconnectionbetweennetworksparameterization,stablecontrollershavebeenconstructe

4、dinstate-spaceanddoublycoprimefractionalrepresentations,”IEEETrans.[15]and[16](tonamejustafew)andafamilyofnovelintegralLya-Automat.Contr.,vol.AC-29,pp.831–832,Sept.1984.punovfunctionshavebeendevelopedin[17]and[18]toavoidcon-trollersingularityproblemcommonlyencounteredinadaptivefeed-backline

5、arizationcontrol.Inthisnote,wepresentanadaptiveneuralcontrollerforaclassofstrict-feedbacknonlinearsystemswithunknowntimedelaysandunknownvirtualcontrolcoefficients.BothintegralfunctionsandAdaptiveNeuralNetworkControlofNonlinearSystemsLyaponov–KrasovskiifunctionalsareusedtoconstructtheLyapuno

6、vWithUnknownTimeDelaysfunctioncandidatessuchthatthecontrollersingularityproblemisShuzhiSamGe,FanHong,andTongHengLeeavoidedandtheuncertaintiesfromunknowntimedelaysareremoved.Semigloballyuniformlyultimateboundedness(SGUUB)ofallthesignalsintheclosed-loopsystemcanbeguaranteedandthecontrolAbstra

7、ct—Inthisnote,adaptiveneuralcontrolispresentedforaclassperformancecanbeimprovedbyappropriatelychoosingthedesignofstrict-feedbacknonlinearsystemswithunknowntimedelays.Usingap-parameters.TheproposedmethodexpandstheclassofnonlinearpropriateLyapunov–Krasovsk

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